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👀 How to coordinate this training:


1. Watch the video together or independently

2. Discussion with supporting questions in a group or pair

Starter Questions:

  • Which of the AI examples in the video have you used before?

  • Can you find 3 apps on your phone that probably use AI?

  • Were you surprised that AI is used in so many places?

  • Do you feel more curious or more nervous about AI after this video?

  • Can you think of a task in your daily life that AI might help with?

Questions for Deeper Engagement:

  • Would you trust AI to help you make a big decision? Why or why not?

  • What is one way AI might make life easier for you?

  • Is there a type of AI use that you find uncomfortable or strange?

  1. Demonstrate examples or ask learners to test out tools in a group

Check the list of examples you can try to demonstrate, or give these as a task for each group.



Materials needed:

Computer 💻



What is Artificial Intelligence (AI)?

est. 45 min

 💡 After this training:

  • The learner is able to understand the basics of AI.

  • The learner can identify where AI is used in daily life.

✨ Digital skills training about AI basics



video language 🇬🇧



Material in Finnish 🇫🇮

Material in English 🇬🇧


Tips for discussions:

Where Do We See AI in Everyday Life? 📱

Examples:

  • Your phone suggests words as you type

  • You get movie or music recommendations

  • You talk to Siri, Google Assistant

  • You use Google Maps or Waze

  • You translate languages on the web

  • Instagram or TikTok shows you what you like

  • You unlock your phone with face recognition


Demonstration examples 💬

  1. Use ChatGPT or Gemini (Text AI)

Task:

  • “What are three cheap and healthy recipes I can cook this week?”→ Observe the reply. Was it helpful? Would you ask more?

  • I’m going to a job interview. Can you help me prepare?”→ Observe the reply. Was it helpful? Would you ask more?


2. Try a Text-to-Image Tool

Use any tools you are familiar with or tools like Pixlr AI Generator or Bing Image Creator.


Task:

  • Type: “A woman working on a laptop in a cozy café in winter.”→ Discuss: Does it match your imagination? What else would you try?

  • Ask learners to suggest a few words and see what kind of image would be generated. → Discuss: Does it match your imagination?

  • Describe what you see in the current moment and type that description. → Discuss: Does it match your imagination? What else would you try?


Example outputs from ChatGPT

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3. Use Voice Input with Google Assistant or Siri

Task:

  • Say: “Remind me to drink water in 10 minutes”→ Discuss: Was this easier than typing?

  • Say: "Can you set a timer for 30 seconds?"→ Discuss: Was this easier than typing? What else would you ask?



Resources and tips for deeper engagements


video language 🇬🇧



Benefits

  • Saves time (e.g., writing help, navigation, voice-to-text)

  • Improves accessibility (e.g., screen readers, translation)

  • Helps in education, healthcare, and work

Risks and Concerns

  • Loss of privacy

AI apps may collect personal information without you noticing.

Example: A face filter app saves your photo and uses it later for advertising.

How to prevent or check: Check the app’s permissions and only allow access that is necessary. Avoid uploading personal photos if you are unsure.


  • Misuse of personal data

Your data can be shared or sold to other companies.

Example: An online shopping app saves what you search for and buy, and then uses this information to show you targeted ads or shares it with other companies.

How to prevent or check: Review the app’s privacy settings, limit ad personalisation, and avoid signing in with social media accounts if it is not necessary.


  • Data stored for a long time

Once data is collected, it may stay online for years.

Example: Old voice recordings from a smart assistant are kept on company servers.

How to prevent or check: Review your account settings and delete old recordings or data when possible.


  • Unfair treatment (AI bias)

AI can make unfair decisions if it learns from biased data.

Example from news: News reports have shown that some companies used AI tools to help with hiring, but these tools showed bias. The AI systems learned from past hiring data and started favouring certain genders, names, or backgrounds, while unfairly rejecting others.


  • Fake images and videos

AI can create images or videos that look real but are not.

Example: A fake photo showing a public figure doing something they never did.

How to prevent or check: Check trusted news sources and look for the same information on more than one website.


  • Fake voices

AI can copy someone’s voice to trick others.

Example: A scam call sounds like a family member asking for money.

How to prevent or check: Hang up and call the person directly using a number you already know.


  • Spreading false information

Fake AI content can confuse or mislead people.

Example: A fake video shared on social media causes panic or anger.

How to prevent or check: Do not share the content immediately and verify it with reliable sources first.



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